{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Text Analytics of Tweet Emotion - EDA with Plotly\n",
    "\n",
    "# [Link to my Youtube Video Explaining this whole Notebook](https://www.youtube.com/watch?v=m9ZHNDzMR0Y&list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N&index=2)\n",
    "\n",
    "[![Imgur](https://imgur.com/8WtJCaZ.png)](https://www.youtube.com/watch?v=m9ZHNDzMR0Y&list=PLxqBkZuBynVQEvXfJpq3smfuKq3AiNW-N&index=2)\n",
    "---\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3/dist-packages/requests/__init__.py:89: RequestsDependencyWarning: urllib3 (1.26.6) or chardet (3.0.4) doesn't match a supported version!\n",
      "  warnings.warn(\"urllib3 ({}) or chardet ({}) doesn't match a supported \"\n"
     ]
    }
   ],
   "source": [
    "# !pip install transformers\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from transformers import pipeline\n",
    "from wordcloud import WordCloud\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "import nltk\n",
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "import nlp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No model was supplied, defaulted to distilbert-base-uncased-finetuned-sst-2-english (https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NEGATIVE</td>\n",
       "      <td>0.999679</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      label     score\n",
       "0  NEGATIVE  0.999679"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# https://huggingface.co/docs/transformers/main_classes/pipelines\n",
    "\n",
    "# An example of a negative customer review for Netflix\n",
    "# taken from https://www.sitejabber.com/reviews/netflix.com\n",
    "text = \"I am on the line with a so-called Customer Service that cannot even set proper expectations nor empathize with a customer.\"\n",
    "\n",
    "classifier = pipeline('text-classification')\n",
    "\n",
    "text_class = classifier(text)\n",
    "\n",
    "pd.DataFrame(text_class)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 5385 datasets currently available on the Hub\n",
      "The first 10 are: ['acronym_identification', 'ade_corpus_v2', 'adversarial_qa', 'aeslc', 'afrikaans_ner_corpus', 'ag_news', 'ai2_arc', 'air_dialogue', 'ajgt_twitter_ar', 'allegro_reviews']\n"
     ]
    }
   ],
   "source": [
    "from datasets import list_datasets\n",
    "\n",
    "all_datasets = list_datasets()\n",
    "\n",
    "print(f\"There are {len(all_datasets)} datasets currently available on the Hub\")\n",
    "\n",
    "print(f\"The first 10 are: {all_datasets[:10]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using custom data configuration default\n",
      "Reusing dataset emotion (/home/paul/.cache/huggingface/datasets/emotion/default/0.0.0/348f63ca8e27b3713b6c04d723efe6d824a56fb3d1449794716c0f0296072705)\n",
      "100%|██████████| 3/3 [00:00<00:00, 59.95it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "DatasetDict({\n",
       "    train: Dataset({\n",
       "        features: ['text', 'label'],\n",
       "        num_rows: 16000\n",
       "    })\n",
       "    validation: Dataset({\n",
       "        features: ['text', 'label'],\n",
       "        num_rows: 2000\n",
       "    })\n",
       "    test: Dataset({\n",
       "        features: ['text', 'label'],\n",
       "        num_rows: 2000\n",
       "    })\n",
       "})"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from datasets import load_dataset\n",
    "\n",
    "emotions = load_dataset('emotion')\n",
    "\n",
    "emotions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dataset({\n",
       "    features: ['text', 'label'],\n",
       "    num_rows: 16000\n",
       "})"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_ds = emotions[\"train\"]\n",
    "train_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['sadness', 'joy', 'love', 'anger', 'fear', 'surprise']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_names = emotions['train'].features['label'].names\n",
    "label_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Length Of Data:  16000\n",
      "Single example by its index in all taken emotion data:  {'text': 'i didnt feel humiliated', 'label': 0}\n"
     ]
    }
   ],
   "source": [
    "#length of the data\n",
    "print('Length Of Data: ',len(train_ds))\n",
    "\n",
    "# Single example\n",
    "print(\"Single example by its index in all taken emotion data: \", train_ds[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Column_Names:  ['text', 'label']\n"
     ]
    }
   ],
   "source": [
    "print('Column_Names: ', train_ds.column_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First 5 rows of data and label:  {'text': ['i didnt feel humiliated', 'i can go from feeling so hopeless to so damned hopeful just from being around someone who cares and is awake', 'im grabbing a minute to post i feel greedy wrong', 'i am ever feeling nostalgic about the fireplace i will know that it is still on the property', 'i am feeling grouchy'], 'label': [0, 0, 3, 2, 3]}\n"
     ]
    }
   ],
   "source": [
    "print('First 5 rows of data and label: ',train_ds[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First 5 rows of data (Text): ['i didnt feel humiliated', 'i can go from feeling so hopeless to so damned hopeful just from being around someone who cares and is awake', 'im grabbing a minute to post i feel greedy wrong', 'i am ever feeling nostalgic about the fireplace i will know that it is still on the property', 'i am feeling grouchy']\n"
     ]
    }
   ],
   "source": [
    "print('First 5 rows of data (Text):',train_ds['text'][:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>i didnt feel humiliated</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>i can go from feeling so hopeless to so damned...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>im grabbing a minute to post i feel greedy wrong</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>i am ever feeling nostalgic about the fireplac...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>i am feeling grouchy</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label\n",
       "0                            i didnt feel humiliated      0\n",
       "1  i can go from feeling so hopeless to so damned...      0\n",
       "2   im grabbing a minute to post i feel greedy wrong      3\n",
       "3  i am ever feeling nostalgic about the fireplac...      2\n",
       "4                               i am feeling grouchy      3"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = pd.DataFrame(emotions['train'])\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15995</th>\n",
       "      <td>i just had a very brief time in the beanbag an...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15996</th>\n",
       "      <td>i am now turning and i feel pathetic that i am...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15997</th>\n",
       "      <td>i feel strong and good overall</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15998</th>\n",
       "      <td>i feel like this was such a rude comment and i...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15999</th>\n",
       "      <td>i know a lot but i feel so stupid because i ca...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    text  label\n",
       "15995  i just had a very brief time in the beanbag an...      0\n",
       "15996  i am now turning and i feel pathetic that i am...      0\n",
       "15997                     i feel strong and good overall      1\n",
       "15998  i feel like this was such a rude comment and i...      3\n",
       "15999  i know a lot but i feel so stupid because i ca...      0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "      <th>label_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>i didnt feel humiliated</td>\n",
       "      <td>0</td>\n",
       "      <td>sadness</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>i can go from feeling so hopeless to so damned...</td>\n",
       "      <td>0</td>\n",
       "      <td>sadness</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>im grabbing a minute to post i feel greedy wrong</td>\n",
       "      <td>3</td>\n",
       "      <td>anger</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>i am ever feeling nostalgic about the fireplac...</td>\n",
       "      <td>2</td>\n",
       "      <td>love</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>i am feeling grouchy</td>\n",
       "      <td>3</td>\n",
       "      <td>anger</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label label_name\n",
       "0                            i didnt feel humiliated      0    sadness\n",
       "1  i can go from feeling so hopeless to so damned...      0    sadness\n",
       "2   im grabbing a minute to post i feel greedy wrong      3      anger\n",
       "3  i am ever feeling nostalgic about the fireplac...      2       love\n",
       "4                               i am feeling grouchy      3      anger"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "emotions.set_format(type='pandas')\n",
    "\n",
    "df = emotions['train'][:]\n",
    "\n",
    "\n",
    "display(df.tail())\n",
    "\n",
    "def label_int2str(row):\n",
    "    return emotions['train'].features['label'].int2str(row)\n",
    "\n",
    "df['label_name'] = df['label'].apply(label_int2str)\n",
    "\n",
    "display(df.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Class distribution of label_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df['label_name'].value_counts(ascending=True).plot.barh()\n",
    "\n",
    "plt.title('Frequency Dist of Classes')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotly Visualization from the Emotion Train Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "bingroup": "x",
         "hovertemplate": "variable=length_of_text<br>Length of the Text=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "length_of_text",
         "marker": {
          "color": "#636efa",
          "line": {
           "color": "#000000",
           "width": 2
          },
          "pattern": {
           "shape": ""
          }
         },
         "name": "length_of_text",
         "offsetgroup": "length_of_text",
         "orientation": "v",
         "showlegend": true,
         "type": "histogram",
         "x": [
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    "train['length_of_text'] = [len(i.split(\" \")) for i in train['text']]\n",
    "\n",
    "fig = px.histogram(train['length_of_text'], marginal='box', labels={'value': \"Length of the Text\"} )\n",
    "\n",
    "fig.update_traces(marker=dict(line=dict(color='#000000', width=2) ))\n",
    "\n",
    "fig.update_layout(title_text = 'Distribution of the Length of Text by Emotions ', title_x=0.5, title_font=dict(size=20)  )\n",
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    "fig.show()"
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   "source": [
    "### Distribution of the Length of the Texts by Emotions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
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    "fig = px.histogram(train['length_of_text'], marginal='box', labels={'value': \"Length of the Text\"}, color=train['label'] )\n",
    "\n",
    "fig.update_traces(marker=dict(line=dict(color='#000000', width=2) ))\n",
    "\n",
    "fig.update_layout(title_text = 'Distribution of the Length of Text by Emotions ', title_x=0.5, title_font=dict(size=20)  )\n",
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    "fig.show()"
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   "metadata": {},
   "source": [
    "### Distribution of the Labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
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    "\n",
    "fig.update_traces(marker=dict(line=dict(color=\"#000000\", width=2 )) )\n",
    "\n",
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   "source": [
    "### Frequency of the Words in the Train Dataset"
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   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
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     "data": {
      "text/plain": [
       "Index(['i', 'feel', 'and', 'to', 'the', 'a', 'feeling', 'that', 'of', 'my',\n",
       "       ...\n",
       "       'few', 'year', 'thought', 'first', 'times', 'family', 'started', 'able',\n",
       "       'said', 'week'],\n",
       "      dtype='object', length=200)"
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     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "FreqOfWords = train['text'].str.split(expand=True).stack().value_counts()\n",
    "\n",
    "FreqOfWords_top200 = FreqOfWords[:200]\n",
    "\n",
    "FreqOfWords_top200.index\n",
    "\n"
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   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
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      "\n",
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    "fig = px.treemap(FreqOfWords_top200, path=[FreqOfWords_top200.index], values=0)\n",
    "\n",
    "fig.update_layout(title_text = 'Freq of the words in Train Dataset', title_x = 0.5, title_font=dict(size=20))\n",
    "\n",
    "fig.update_traces(textinfo='label+value')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Text Pre-Processing\n",
    "\n",
    "According to graph above, the most frequent words include stopwords such as \"i\", \"and\", \"to\", etc. For the further steps, I will remove them.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>i can go from feeling so hopeless to so damned...</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>im grabbing a minute to post i feel greedy wrong</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>i am ever feeling nostalgic about the fireplac...</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>i am feeling grouchy</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label  length_of_text\n",
       "0                            i didnt feel humiliated      0               4\n",
       "1  i can go from feeling so hopeless to so damned...      0              21\n",
       "2   im grabbing a minute to post i feel greedy wrong      3              10\n",
       "3  i am ever feeling nostalgic about the fireplac...      2              18\n",
       "4                               i am feeling grouchy      3               4"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>text_tokenized</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>i didnt feel humiliated</td>\n",
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       "      <td>[i, didnt, feel, humiliated]</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>i can go from feeling so hopeless to so damned...</td>\n",
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       "      <td>21</td>\n",
       "      <td>[i, can, go, from, feeling, so, hopeless, to, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>im grabbing a minute to post i feel greedy wrong</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>[im, grabbing, a, minute, to, post, i, feel, g...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>i am ever feeling nostalgic about the fireplac...</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>[i, am, ever, feeling, nostalgic, about, the, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>i am feeling grouchy</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>[i, am, feeling, grouchy]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label  length_of_text  \\\n",
       "0                            i didnt feel humiliated      0               4   \n",
       "1  i can go from feeling so hopeless to so damned...      0              21   \n",
       "2   im grabbing a minute to post i feel greedy wrong      3              10   \n",
       "3  i am ever feeling nostalgic about the fireplac...      2              18   \n",
       "4                               i am feeling grouchy      3               4   \n",
       "\n",
       "                                      text_tokenized  \n",
       "0                       [i, didnt, feel, humiliated]  \n",
       "1  [i, can, go, from, feeling, so, hopeless, to, ...  \n",
       "2  [im, grabbing, a, minute, to, post, i, feel, g...  \n",
       "3  [i, am, ever, feeling, nostalgic, about, the, ...  \n",
       "4                          [i, am, feeling, grouchy]  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def tokenization(inputs):\n",
    "    return word_tokenize(inputs)\n",
    "\n",
    "train['text_tokenized'] = train['text'].apply(tokenization)\n",
    "\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stopword Removal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>1</th>\n",
       "      <td>i can go from feeling so hopeless to so damned...</td>\n",
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       "      <td>[i, can, go, from, feeling, so, hopeless, to, ...</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>i am ever feeling nostalgic about the fireplac...</td>\n",
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       "      <td>18</td>\n",
       "      <td>[i, am, ever, feeling, nostalgic, about, the, ...</td>\n",
       "      <td>[ever, feeling, nostalgic, fireplace, know, st...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>i am feeling grouchy</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>[i, am, feeling, grouchy]</td>\n",
       "      <td>[feeling, grouchy]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label  length_of_text  \\\n",
       "0                            i didnt feel humiliated      0               4   \n",
       "1  i can go from feeling so hopeless to so damned...      0              21   \n",
       "2   im grabbing a minute to post i feel greedy wrong      3              10   \n",
       "3  i am ever feeling nostalgic about the fireplac...      2              18   \n",
       "4                               i am feeling grouchy      3               4   \n",
       "\n",
       "                                      text_tokenized  \\\n",
       "0                       [i, didnt, feel, humiliated]   \n",
       "1  [i, can, go, from, feeling, so, hopeless, to, ...   \n",
       "2  [im, grabbing, a, minute, to, post, i, feel, g...   \n",
       "3  [i, am, ever, feeling, nostalgic, about, the, ...   \n",
       "4                          [i, am, feeling, grouchy]   \n",
       "\n",
       "                       text_after_removing_stopwords  \n",
       "0                          [didnt, feel, humiliated]  \n",
       "1  [go, feeling, hopeless, damned, hopeful, aroun...  \n",
       "2  [im, grabbing, minute, post, feel, greedy, wrong]  \n",
       "3  [ever, feeling, nostalgic, fireplace, know, st...  \n",
       "4                                 [feeling, grouchy]  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stop_words = set(stopwords.words('english'))\n",
    "\n",
    "def stopwords_remove(inputs):\n",
    "    return [item for item in inputs if item not in stop_words]\n",
    "\n",
    "train['text_after_removing_stopwords'] = train['text_tokenized'].apply(stopwords_remove)\n",
    "\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lemmatization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>text</th>\n",
       "      <th>label</th>\n",
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       "      <td>[didnt, feel, humiliate]</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>i can go from feeling so hopeless to so damned...</td>\n",
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       "      <td>[i, can, go, from, feeling, so, hopeless, to, ...</td>\n",
       "      <td>[go, feeling, hopeless, damned, hopeful, aroun...</td>\n",
       "      <td>[go, feel, hopeless, damn, hopeful, around, so...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>im grabbing a minute to post i feel greedy wrong</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>[im, grabbing, a, minute, to, post, i, feel, g...</td>\n",
       "      <td>[im, grabbing, minute, post, feel, greedy, wrong]</td>\n",
       "      <td>[im, grab, minute, post, feel, greedy, wrong]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>i am ever feeling nostalgic about the fireplac...</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>[i, am, ever, feeling, nostalgic, about, the, ...</td>\n",
       "      <td>[ever, feeling, nostalgic, fireplace, know, st...</td>\n",
       "      <td>[ever, feel, nostalgic, fireplace, know, still...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>i am feeling grouchy</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>[i, am, feeling, grouchy]</td>\n",
       "      <td>[feeling, grouchy]</td>\n",
       "      <td>[feel, grouchy]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label  length_of_text  \\\n",
       "0                            i didnt feel humiliated      0               4   \n",
       "1  i can go from feeling so hopeless to so damned...      0              21   \n",
       "2   im grabbing a minute to post i feel greedy wrong      3              10   \n",
       "3  i am ever feeling nostalgic about the fireplac...      2              18   \n",
       "4                               i am feeling grouchy      3               4   \n",
       "\n",
       "                                      text_tokenized  \\\n",
       "0                       [i, didnt, feel, humiliated]   \n",
       "1  [i, can, go, from, feeling, so, hopeless, to, ...   \n",
       "2  [im, grabbing, a, minute, to, post, i, feel, g...   \n",
       "3  [i, am, ever, feeling, nostalgic, about, the, ...   \n",
       "4                          [i, am, feeling, grouchy]   \n",
       "\n",
       "                       text_after_removing_stopwords  \\\n",
       "0                          [didnt, feel, humiliated]   \n",
       "1  [go, feeling, hopeless, damned, hopeful, aroun...   \n",
       "2  [im, grabbing, minute, post, feel, greedy, wrong]   \n",
       "3  [ever, feeling, nostalgic, fireplace, know, st...   \n",
       "4                                 [feeling, grouchy]   \n",
       "\n",
       "                                     text_lemmatized  \n",
       "0                           [didnt, feel, humiliate]  \n",
       "1  [go, feel, hopeless, damn, hopeful, around, so...  \n",
       "2      [im, grab, minute, post, feel, greedy, wrong]  \n",
       "3  [ever, feel, nostalgic, fireplace, know, still...  \n",
       "4                                    [feel, grouchy]  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lemmatizer = WordNetLemmatizer()\n",
    "\n",
    "def lemmatization(inputs):\n",
    "    return [lemmatizer.lemmatize(word=x, pos='v') for x in inputs]\n",
    "\n",
    "train['text_lemmatized'] = train['text_after_removing_stopwords'].apply(lemmatization)\n",
    "\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Joining Tokens into Sentences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>1</th>\n",
       "      <td>i can go from feeling so hopeless to so damned...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>im grabbing a minute to post i feel greedy wrong</td>\n",
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       "      <td>[im, grab, minute, post, feel, greedy, wrong]</td>\n",
       "      <td>im grab minute post feel greedy wrong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>i am ever feeling nostalgic about the fireplac...</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>[i, am, ever, feeling, nostalgic, about, the, ...</td>\n",
       "      <td>[ever, feeling, nostalgic, fireplace, know, st...</td>\n",
       "      <td>[ever, feel, nostalgic, fireplace, know, still...</td>\n",
       "      <td>ever feel nostalgic fireplace know still property</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>i am feeling grouchy</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>[i, am, feeling, grouchy]</td>\n",
       "      <td>[feeling, grouchy]</td>\n",
       "      <td>[feel, grouchy]</td>\n",
       "      <td>feel grouchy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label  length_of_text  \\\n",
       "0                            i didnt feel humiliated      0               4   \n",
       "1  i can go from feeling so hopeless to so damned...      0              21   \n",
       "2   im grabbing a minute to post i feel greedy wrong      3              10   \n",
       "3  i am ever feeling nostalgic about the fireplac...      2              18   \n",
       "4                               i am feeling grouchy      3               4   \n",
       "\n",
       "                                      text_tokenized  \\\n",
       "0                       [i, didnt, feel, humiliated]   \n",
       "1  [i, can, go, from, feeling, so, hopeless, to, ...   \n",
       "2  [im, grabbing, a, minute, to, post, i, feel, g...   \n",
       "3  [i, am, ever, feeling, nostalgic, about, the, ...   \n",
       "4                          [i, am, feeling, grouchy]   \n",
       "\n",
       "                       text_after_removing_stopwords  \\\n",
       "0                          [didnt, feel, humiliated]   \n",
       "1  [go, feeling, hopeless, damned, hopeful, aroun...   \n",
       "2  [im, grabbing, minute, post, feel, greedy, wrong]   \n",
       "3  [ever, feeling, nostalgic, fireplace, know, st...   \n",
       "4                                 [feeling, grouchy]   \n",
       "\n",
       "                                     text_lemmatized  \\\n",
       "0                           [didnt, feel, humiliate]   \n",
       "1  [go, feel, hopeless, damn, hopeful, around, so...   \n",
       "2      [im, grab, minute, post, feel, greedy, wrong]   \n",
       "3  [ever, feel, nostalgic, fireplace, know, still...   \n",
       "4                                    [feel, grouchy]   \n",
       "\n",
       "                                        text_cleaned  \n",
       "0                               didnt feel humiliate  \n",
       "1  go feel hopeless damn hopeful around someone c...  \n",
       "2              im grab minute post feel greedy wrong  \n",
       "3  ever feel nostalgic fireplace know still property  \n",
       "4                                       feel grouchy  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['text_cleaned'] = train['text_lemmatized'].str.join(' ')\n",
    "\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Word Cloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wordcloud = WordCloud(max_words=150, random_state=30, collocations=True).generate(str((train['text_cleaned'])))\n",
    "\n",
    "plt.figure(figsize=(15, 8))\n",
    "\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/paul/.local/lib/python3.9/site-packages/plotly/express/_core.py:1637: FutureWarning:\n",
      "\n",
      "The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
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         "domain": {
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          ],
          "y": [
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          "title": {
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          "xaxis": {
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        "title": {
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     },
     "metadata": {},
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   ],
   "source": [
    "FreqOfWords = train['text_cleaned'].str.split(expand=True).stack().value_counts()\n",
    "\n",
    "FreqOfWords_top200 = FreqOfWords[:200]\n",
    "\n",
    "FreqOfWords_top200.index\n",
    "\n",
    "\n",
    "fig = px.treemap(FreqOfWords_top200, path=[FreqOfWords_top200.index], values=0)\n",
    "\n",
    "fig.update_layout(title_text = 'Freq of the words in Train Dataset', title_x = 0.5, title_font=dict(size=20))\n",
    "\n",
    "fig.update_traces(textinfo='label+value')\n",
    "fig.show()"
   ]
  }
 ],
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